Open Access
2014 Finite-Time Synchronizing Control for Chaotic Neural Networks
Chao Zhang, Qiang Guo, Jing Wang
Abstr. Appl. Anal. 2014(SI42): 1-9 (2014). DOI: 10.1155/2014/938612


This paper addresses the finite-time synchronizing problem for a class of chaotic neural networks. In a real communication network, parameters of the master system may be time-varying and the system may be perturbed by external disturbances. A simple high-gain observer is designed to track all the nonlinearities, unknown system functions, and disturbances. Then, a dynamic active compensatory controller is proposed and by using the singular perturbation theory, the control method can guarantee the finite-time stability of the error system between the master system and the slave system. Finally, two illustrative examples are provided to show the effectiveness and applicability of the proposed scheme.


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Chao Zhang. Qiang Guo. Jing Wang. "Finite-Time Synchronizing Control for Chaotic Neural Networks." Abstr. Appl. Anal. 2014 (SI42) 1 - 9, 2014.


Published: 2014
First available in Project Euclid: 2 October 2014

zbMATH: 07023352
MathSciNet: MR3226241
Digital Object Identifier: 10.1155/2014/938612

Rights: Copyright © 2014 Hindawi

Vol.2014 • No. SI42 • 2014
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